MATH 290: Vector Spaces and Subspaces - Prof. Jack Porter, Exams of Linear Algebra

The topics of vector spaces, subspaces, and related concepts for math 290. Learn about the definition of a vector space, verifying if a set is a vector space, writing vectors as linear combinations, determining subspaces, and more. Also, understand notions of linear dependence, independence, basis, and dimension.

Typology: Exams

Pre 2010

Uploaded on 12/09/2010

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MATH 290
Covers 4.1-4.6
The topics include:
- Recall the definition of a vector space, the 10 axioms.
- Verifying a set with two given operations is a vector space.
- Writing a vector as a linear combination of other given vectors.
- Determining if a given subset is a subspace.
- Giving a geometric description of a subspace.
- Definition of the span of a given set of vectors.
- Geometric description of the span of a given set of vectors.
- Determining if a vector is in the span of a given set.
- Determining if a given set of vectors is spanning.
- Notions of linear dependence and linear independence of vectors.
- Testing linear dependence and linear independence of vectors.
- Notions of basis and dimension.
- Writing the standard basis for well-known vector spaces.
- Determining if a given set of vectors is a basis.
- Finding a basis and the dimension of a vector space or a subspace.
- Computing the rank and nullity of a matrix.
- Recall the Rank-Nullity Theorem.
- Finding a basis and the dimension of a subspace spanned by a given set of
vectors using RREF of matrices.

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MATH 290

Covers 4.1-4. The topics include:

  • Recall the definition of a vector space, the 10 axioms.
  • Verifying a set with two given operations is a vector space.
  • Writing a vector as a linear combination of other given vectors.
  • Determining if a given subset is a subspace.
  • Giving a geometric description of a subspace.
  • Definition of the span of a given set of vectors.
  • Geometric description of the span of a given set of vectors.
  • Determining if a vector is in the span of a given set.
  • Determining if a given set of vectors is spanning.
  • Notions of linear dependence and linear independence of vectors.
  • Testing linear dependence and linear independence of vectors.
  • Notions of basis and dimension.
  • Writing the standard basis for well-known vector spaces.
  • Determining if a given set of vectors is a basis.
  • Finding a basis and the dimension of a vector space or a subspace.
  • Computing the rank and nullity of a matrix.
  • Recall the Rank-Nullity Theorem.
  • Finding a basis and the dimension of a subspace spanned by a given set of vectors using RREF of matrices.